The relationship between cognitive-ability saturation and subgroup mean differences across predictors of job performance.
量化了预测因子与认知能力的相关性与亚组均值差异的正向关系，发现认知饱和与黑-白、西-白差异高度相关，并提出了基于认知饱和预测新预测因子均值差异的方法。
The authors quantify the conventional wisdom that predictors' correlations with cognitive ability are positively related to subgroup mean differences. Using meta-analytic and large-N data from diverse predictors, they found that cognitive saturation correlates .84 with predictors' artifact-corrected Black-White d values and .95 with predictors' artifact-corrected Hispanic-White d values. The authors also investigate the extent to which d values are associated with the use of assessor-based scoring and with predictor domains in which differential investment is likely to occur. As a practical application of these findings, they present a procedure to forecast mean differences on a new predictor based on its cognitive saturation and other attributes. They also present a Bayesian framework that allows one to integrate regression-based forecasts with observed d values to achieve more precise estimates of mean differences. The proposed forecasting techniques based on the relationship between mean differences and cognitive saturation can help to mitigate the difficulties inherent in computing precise local estimates of mean differences. (PsycINFO Database Record